Building a Chinese Text Summarizer with Phrasal Chunks and Domain Knowledge

This paper introduces a Chinese summarizier called ThemePicker. Though the system incorporates both statistical and text analysis models, the statistical model plays a major role during the automated process. In addition to word segmentation and proper names identification, phrasal chunk extraction and content density calculation are based on a semantic network pre-constructed for a chosen domain. To improve the readability of the extracted sentences as auto-generated summary, a shallow parsing algorithm is used to eliminate the semantic redundancy.